Best Quadratic unbiased Estimator for Variance Component of One-Way Repeated Measurement Model

Journal Title: JOURNAL OF ADVANCES IN MATHEMATICS - Year 2018, Vol 14, Issue 1

Abstract

The studies of analysis of variance components is one of the important topics in mathematical statistics for this subject of wide application. In this paper given best quadratic unbiased estimator of variance components for balanced data for linear one-way repeated measurement model (RMM). We computed the quadratic unbiased estimator, which has minimum variance (best quadratic unbiased estimate (BQUE)) by using analysis of variance (ANOVA) method of estimating the variance components.

Authors and Affiliations

Abdulhussein Saber AL-Mouel, Jasim Mohammed Ali

Keywords

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  • EP ID EP651872
  • DOI 10.24297/jam.v14i1.7342
  • Views 212
  • Downloads 0

How To Cite

Abdulhussein Saber AL-Mouel, Jasim Mohammed Ali (2018). Best Quadratic unbiased Estimator for Variance Component of One-Way Repeated Measurement Model. JOURNAL OF ADVANCES IN MATHEMATICS, 14(1), 7615-7623. https://europub.co.uk./articles/-A-651872